Applications: Turbid-/ Opaque Media /Multi Scattering

Digital design of mode decomposition systems for multimode fibers using physics-informed neural network

Enhancement of Free-Space Optical Communication with Structured Frequency Combs

Computational ghost imaging for atmospheric turbulence using model-driven and data-driven deep learning

Adaptive Vectorial Restoration from Dynamic Speckle Patterns Through Biological Scattering Media Based on Deep Learning

Vortex memory effect of light for scattering-assisted massive data transmission

Scattering imaging of moving targets based on recurrent neural networks: a fusion of temporal and phase information

Speckle-free self-supervised learning for scalable imaging through scattering media with unseen condition changes

DeepSLM: Speckle-Licensed Modulation via Deep Adversarial Learning for Authorized Optical Encryption and Decryption

Twists through turbidity: propagation of light carrying orbital angular momentum through a complex scattering medium

Phase preservation of orbital angular momentum of light in multiple scattering environment